近期，实验室博士生胡志坚作为第一作者，导师吴立刚教授作为通讯作者的论文“Credibility-Based Distributed Frequency Estimation for Plug-in Electric Vehicles Participating in Load Frequency Control”已被国际期刊International Journal of Electrical Power and Energy Systems录用。

论文针对插入式电动汽车可能遭受的网络攻击，提出了一种基于可信度的分布式频率估计方案来检测和隔离存在攻击威胁的电动汽车。在该方案中，每台电动汽车可以根据分布式频率估计算法以及变电站的频率测量来检测邻域的异常行为。然后，将基于可信度的分布式频率估计方案集成到了电力系统负载频率控制策略中。最后，通过对多种通信拓扑下的电动汽车进行仿真，验证了本文所提基于可信度的分布式频率估计方案的有效性。

Abstract

The accurate, robust and economic acquisition of frequency signals of plug-in electric vehicles (PEVs) is a vital prerequisite to regulate the frequency of power systems with the participation of a large number of PEVs. While the communication links among PEVs are vulnerable to cyber attacks, we propose a credibility-based distributed frequency estimation scheme to detect and isolate compromised PEVs participating in the frequency regulation. In this scheme, each PEV can distinguish its neighbors' misbehavior based on the distributed frequency estimation and/or frequency measurements taken only at distribution substations. Then, a distributed load frequency control (DLFC) strategy is designed to integrate the credibility-based resilient distributed frequency estimation scheme. Tests under a variety of communication topologies are conducted to verify the proposed credibility-based distributed frequency estimation scheme. Simulation results of a four-area power system validate the proposed DLFC strategy after detecting and isolating the compromised PEVs can regulate the frequency quickly when suffering load variations.